From: Jean-Paul Pelteret <jppelteret@gmail.com>
Date: Sat, 8 May 2021 17:59:28 +0000 (+0200)
Subject: Lightly edit section on step-71
X-Git-Url: https://gitweb.dealii.org/cgi-bin/gitweb.cgi?a=commitdiff_plain;h=8463a78b8aee639a70d21ac84182b026d855052c;p=release-papers.git

Lightly edit section on step-71
---

diff --git a/9.3/paper.bib b/9.3/paper.bib
index e16deae..5840038 100644
--- a/9.3/paper.bib
+++ b/9.3/paper.bib
@@ -590,7 +590,7 @@ Collection of deal.II Manifold Wrappers for the OpenCASCADE Library}},
 @Misc{symengine-web-page,
   key =          {symengine},
   title =        {{SymEngine: fast symbolic manipulation library, written in C++}},
-  note =         {\url{https://github.com/symengine/symengine}, \url{http://sympy.org/}}}
+  note =         {\url{https://symengine.org/}}}
 
 @Misc{hdf5,
     author = {{The HDF Group}},
diff --git a/9.3/paper.tex b/9.3/paper.tex
index 5e53d59..b6f1887 100644
--- a/9.3/paper.tex
+++ b/9.3/paper.tex
@@ -874,13 +874,14 @@ In addition, there are a number of new tutorial programs:
 \item \texttt{step-68} TODO
 
 \item \texttt{step-71} focuses on automatic and symbolic
-  differentiation (AD and SD, in short) as a tool to make solvers for complex, nonlinear
-  problems possible. To this end, \dealii{} can interface to a number
-  of AD and SD libraries, including Trilinos' Sacado package
-  \cite{...}, ...\todo{which others??}, and SymEngine \cite{symengine-web-page}. The tutorial
+  differentiation (AD and SD, in short) as a tool to make solvers for complex,
+  nonlinear problems possible. To this end, \dealii{} can interface to a number
+  of AD and SD libraries, specifically Trilinos' Sacado package
+  \cite{Bartlett2006a}, ADOL-C \cite{Griewank1996a}, and 
+  SymEngine \cite{symengine-web-page}. The tutorial
   illustrates how these techniques can be used to compute derivatives
   of first a rather simple function, and then of the much more complex
-  energy functions of two magneto-elastic and magneto-visco-elastic
+  energy functions of two magnetoelastic and magneto-viscoelastic
   material formulations in which just the scalar energy functional
   takes up the better part of a page, and even first derivatives can
   only be computed with heroic effort.